basics of JavaScript • basics of HTML • basics of React • basics of TensorFlow.js • basics of machine learning and web development
skills learned
creating a React web app and analyzing app structure • creating a basic UI and event listeners in React • constructing a neural network model with TensorFlow.js
In this liveProject you’ll create a React web application and then integrate TensorFlow.js machine learning functionality into the app. React is highly prized by developers for its ease of building simple and intuitive frontends. Once you’ve set up your development environment and built your React-based UI, you’ll train your TensorFlow.js model with synthetic data.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
project
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project author
Andrej Baranovskij
Andrej Baranovskij is a TensorFlow-certified developer who runs his own machine learning startup company Katana ML. Andrej is responsible for building machine learning products for enterprise operations automation. Previously, he spent 15 years working with Oracle technology and building various enterprise systems across the globe. His software development experience allows to bridge a gap between machine learning and software development.
prerequisites
This liveProject is for both web developers and machine learning engineers. Web developers experienced with JavaScript will learn how to integrate TensorFlow into their applications, while ML engineers will be interested in developing their skills for user interfaces.
TOOLS
Basics of JavaScript
Basics of HTML
Basics of Node.js, NPM, and Yarn
Basics of React
Basics of TensorFlow.js
Visual Studio Code
TECHNIQUES
Basics of machine learning
Basics of web development with HTML/JavaScript
features
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